Haonan Zhang

Orcid: 0000-0002-4239-6141

Affiliations:

Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, Shaanxi, China

According to our database¹, Haonan Zhang authored at least 18 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2025

CLEAN: Category Knowledge-Driven Compression Framework for Efficient 3D Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Self-supervised motion forecasting with local information interaction in autonomous driving.

[BibT_eX]

[DOI]

Appl. Intell., February, 2025

LeOp-GS: Learned Optimizer With Dynamic Gradient Update for Sparse-View 3DGS.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2025

D2S: Towards Efficient Sparse 3D Object Detection via Dense to Sparse Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Low-Light Infrared and Visible Image Fusion With Imbalanced Thermal Radiation Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

CaKDP: Category-Aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

RepCo: Replenish sample views with better consistency for contrastive learning.

[BibT_eX]

[DOI]

Neural Networks, November, 2023

Hierarchical Model Compression via Shape-Edge Representation of Feature Maps - an Enlightenment From the Primate Visual System.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Cross-Layer Patch Alignment and Intra-and-Inter Patch Relations for Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

FCHP: Exploring the Discriminative Feature and Feature Correlation of Feature Maps for Hierarchical DNN Pruning and Compression.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

CMD: controllable matrix decomposition with global optimization for deep neural network compression.

[BibT_eX]

[DOI]

Mach. Learn., 2022

DFSNet: Dividing-fuse deep neural networks with searching strategy for distributed DNN architecture.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Rethinking the Mechanism of the Pattern Pruning and the Circle Importance Hypothesis.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

CMB: A Novel Structural Re-parameterization Block without Extra Training Parameters.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

2021

AKECP: Adaptive Knowledge Extraction from Feature Maps for Fast and Efficient Channel Pruning.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Haonan Zhang

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